In this paper we introduce a minimalist hypothesis for keywords extraction: keywords can be extracted from text documents by considering concepts underlying document terms. Furthermore, central concepts are individuated as the concepts that are more related to title concepts. Namely, we propose five metrics, that are diverse in essence, to compute the centrality of concepts in the document body...

A procedure to approximate non-causal adaptive IIR filtering is described. Such structures could be useful, for instance, in the equalization of non-minimum phase communication channels. The procedure is based on backward calculations within blocks of samples and we show that for adaptive filtering the overlap-save method is more suitable than the overlap-add method. Moreover, a temporary freez...

Political science research on policy convergence has largely remained inconclusive. While many studies found support for the convergence hypothesis, an almost equally large number of studies rejected it. Convergence thus could be a less general phenomenon than many theorists believe. This article identifies a second possible explanation. The variance approach, which dominates political science ...

This paper updates and extends the time-series evidence on the convergence of international incomes using a set of 29 countries over the period 1900-2001. Time-series tests for stochastic convergence are supplemented with tests which provide evidence on the notion of “$-convergence” predicted by the Solow model. The evidence indicates that the relative income series of 21 countries are consiste...

Currently a new version of the distance education platform WeLearn [3] to be combined with an agent system ([1], also developed locally) for providing advanced services [2] is under development. In a previous stage of the project software was created to automatically derive keywords from documents, either from the different versions of metadata already contained (various Microsoft file formats,...

As our ability to store information increases, the mechanisms we employ to access that information become ever more important. In this paper, we present Archosum, a prototype of an organizational system that attempts to encapsulate the benefits of both hierarchical and keyword systems. By introducing abstract entities, Archosum provides a simple interface with which users can build and maintain...

ODUCTION ar sensors with dual-polarization capability etter understanding and characterization of hazards. Advanced knowledge-based hazard algorithms would require better knowledge of ttering characteristics of hydrometeors such as , hailstones, and snowflakes. Especially, characteristics becomes important for utilize phase-array dual-polarization radar Traditionally, theoretical approaches [1]...

In traditional Genetic Algorithm, random population seeding technique is simple and efficient however the population may contain poor quality individuals which take long time to converge optimal solution. This motivates to design a population initialization technique with the features of randomness, individual diversity and good quality. In this paper, an initial work has been carried out to de...

tizzy k nearest neighbor rule (k-NNR) has been applied in a variety of substantive areas. Yang and Chen [l] described a fuzzy generalized k-NN algorithm which is a unified approach to a variety of fuzzy k-NNR’s. They created the strong consistency of posterior risk of the fuzzy generalized NNR. In this paper, we give their convergence rate. That is, the convergence rate of posterior risk of the...